The future of US Fencing is at stake!

For transparency, fairness, and athlete support, VOTE NOW for:
(1) Maria Panyi, (2) Andrey Geva, (3) Igor Chirashnya, and (4) Sue Moheb.

June NAC

Div I Women's Saber

Sunday, June 6, 2021 at 1:15 PM

, - Richmond, VA, USA

Probability density of pool victories

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Explore the pool victory probability density for each fencer, with their actual victories highlighted in a box. Learn more.

# Name Number of victories
0 1 2 3 4 5 6
1 FOX-GITOMER Chloe N. - - - 1% 9% 35% 55%
2 MARSEE Samantha - 5% 22% 38% 27% 7%
3 GREENBAUM Atara R. - - 4% 15% 33% 34% 14%
3 JENKINS Ryan J. - - - 3% 16% 41% 40%
5 SKARBONKIEWICZ Magda - - 2% 12% 30% 38% 17%
6 SULLIVAN Siobhan R. - - 2% 13% 32% 37% 16%
7 DELSOIN Chelsea C. 1% 7% 26% 39% 24% 4%
8 PAK Kaitlyn - 1% 7% 23% 36% 26% 6%
9 FOUR-GARCIA Madison - - 3% 15% 34% 35% 13%
10 ZEGERS Anneke E. - 1% 5% 20% 37% 29% 7%
11 KONG Vera - - 4% 16% 33% 34% 13%
12 LINDER Kara E. - - 1% 7% 25% 42% 26%
13 JOHNSON Honor B. - - - 1% 18% 81%
14 SINGLETON-COMFORT Leanne - - - 4% 18% 41% 36%
15 KIM Zoe - 1% 6% 21% 37% 28% 8%
16 CODY Alexandra C. 3% 16% 33% 31% 14% 3% -
17 THEODORE Maria A. - - 1% 8% 28% 42% 20%
17 TONG Kunling - 2% 11% 27% 34% 21% 5%
19 WILLIAMS Jadeyn E. - - 4% 18% 35% 31% 10%
20 WILLIAMS Chloe C. - - 4% 16% 33% 33% 13%
21 OISHI Megumi - 1% 6% 21% 35% 28% 9%
22 JULIEN Michelle 2% 15% 33% 32% 15% 3% -
23 NEWELL Alexia C. 4% 22% 38% 28% 8% -
24 ADYNSKI Gillian I. - - 3% 17% 43% 36%
25 WIGGERS Susan Q. 1% 9% 28% 37% 21% 4%
26 ANDRES Katherine A. 2% 14% 37% 34% 12% 1%
27 CHAN Casey - - 4% 17% 34% 33% 12%
28 LEE Alexandra B. - 1% 6% 21% 36% 29% 8%
29 SATHYANATH Kailing 1% 6% 20% 33% 28% 12% 2%
30 HARRILL Gillian N. - - 1% 6% 23% 43% 27%
31 GOUHIN Chloe - 1% 7% 22% 37% 28% 5%
32 POSSICK Lola P. - 1% 9% 32% 43% 14%
33 FREEDMAN Janna N. - 4% 18% 34% 29% 12% 2%
34 ANGLADE Alexis C. - - 1% 9% 39% 50%
35 MIKA Veronica 1% 12% 33% 36% 16% 2%
36 GORMAN Alexandra C. - 2% 10% 28% 36% 20% 4%
37 LU Vivian Y. - - 4% 16% 34% 33% 12%
38 KOVACS Sophia - 2% 9% 25% 35% 24% 6%
39 TAO Hannah J. 1% 5% 20% 35% 29% 10% 1%
40 STRZALKOWSKI Aleksandra (Ola) M. - - 3% 14% 33% 36% 15%
41 GUTHIKONDA Nithya - 2% 11% 28% 35% 20% 5%
42 YANG Ashley M. 8% 26% 35% 23% 7% 1% -
43 BLUM Leah I. 1% 10% 26% 34% 22% 6% 1%
44 BOIS Adele 2% 14% 36% 36% 12% 1%
45 CAO Stephanie X. 1% 7% 26% 40% 24% 2%
46 CHIN Erika J. - 2% 12% 34% 38% 13%
47 AVAKIAN Mikaela - - 3% 12% 31% 38% 17%
47 TZOU Alexandra 1% 6% 21% 34% 27% 10% 1%
49 NAZLYMOV Tatiana F. - 4% 17% 34% 31% 12% 2%
50 ANDRES Charmaine G. 4% 19% 35% 29% 11% 2% -
51 SHOMAN Jenna - 1% 7% 23% 36% 25% 7%
52 SHEALY Maggie - 4% 16% 33% 32% 13% 2%
53 BROWNE Alexis G. 1% 6% 21% 35% 27% 10% 1%
54 CALLAHAN Chase J. 10% 32% 36% 18% 4% - -
55 HULSEBURG Kaitlyn 1% 10% 26% 34% 22% 6% 1%
56 SHOMAN Miriam 6% 25% 37% 24% 7% 1% -
57 STONE Hava S. 2% 13% 34% 35% 15% 2%
58 GORMLEY Arwen E. 1% 7% 26% 38% 23% 5%
59 OLSEN Natalie J. 4% 19% 34% 29% 11% 2% -
60 CHIOLDI Mina 1% 5% 18% 32% 29% 12% 2%
61 MATAIEV Natalie S. 16% 37% 32% 12% 2% - -
62 GREENBAUM Ella K. 2% 13% 30% 33% 18% 4% -
63 YODER Bridget H. 8% 29% 36% 20% 6% 1% -
64 LI Victoria J. 5% 21% 34% 27% 10% 2% -
65 DRAGON Rainer 2% 14% 32% 33% 15% 3% -
66 LI Amanda C. 1% 10% 31% 38% 18% 3%
67 MILLER Sky - - 2% 12% 39% 48%
68 HONE Katarina G. 4% 22% 40% 27% 6% -
69 VESTEL Mira B. 5% 20% 34% 28% 11% 2% -
70 STAPLETON Lindsay K. 9% 29% 35% 20% 6% 1% -
71 SECK Chejsa-Kaili F. - 2% 11% 28% 35% 20% 4%
72 HARRISON Imogen N. - 1% 8% 24% 35% 25% 7%
73 WU Erica L. 6% 23% 35% 26% 9% 1% -
74 LU Elaine 16% 38% 32% 12% 2% - -
75 TIMOFEYEV Nicole - 3% 14% 30% 32% 17% 3%
76 HURST Kennedy 16% 36% 31% 13% 3% - -
77 SLOBODSKY Sasha L. 27% 44% 23% 6% 1% -
78 BUHAY Rachel T. 11% 37% 36% 14% 2% -
79 JUNG Irene 26% 42% 25% 6% 1% -
80 WEINBERG Alexandra L. - 1% 7% 25% 42% 26%
81 CHANG Josephine S. - 5% 20% 35% 28% 10% 1%
82 NI Sharon 17% 37% 30% 12% 3% - -
83 BROWN Emma 3% 15% 31% 32% 16% 3% -
84 YONG Erika E. 2% 13% 29% 33% 18% 5% -
85 TURNOF Kayla M. 24% 40% 26% 9% 1% - -
85 HILD Nisha 4% 20% 34% 28% 12% 2% -
87 CHEN Xinyan 22% 41% 27% 8% 1% - -
88 LU Amy 15% 37% 32% 13% 3% - -
89 XI Shining 6% 28% 39% 22% 5% -
90 BALAKUMARAN Maya 9% 37% 37% 15% 2% -
91 ALCEBAR Kayla 7% 28% 38% 21% 4% -
92 SCALAMONI-GOLDSTEIN Charlotte S. 4% 20% 38% 30% 9% -
93 GORMAN Victoria M. 6% 25% 37% 24% 7% 1% -
94 TUCKER Iman R. 3% 17% 33% 30% 13% 3% -
95 MOYA Keona L. - 1% 6% 22% 37% 27% 7%
96 LIU Rachel 3% 16% 32% 30% 15% 3% -
97 ANTHONY Alexia B. 12% 34% 34% 16% 3% - -
98 DANK Dina 22% 41% 27% 9% 1% - -
99 KALRA Himani V. 2% 14% 33% 32% 15% 3% -
100 AKARD Micah M. 35% 42% 19% 4% - - -
101 ATLURI Sara V. 10% 30% 35% 19% 5% 1% -
102 YUN Maya 6% 23% 35% 25% 9% 2% -
103 CHANG Emily 8% 28% 35% 21% 6% 1% -
104 ENGELMAN Madeline A. 3% 15% 31% 32% 16% 4% -
105 SUBRAMANIAN Nitika 10% 30% 35% 19% 6% 1% -
106 SZETO Chloe 9% 29% 35% 20% 6% 1% -
107 HOLMES Emma 45% 40% 13% 2% - -
108 BILILIES Sophia 51% 38% 10% 1% - -
109 BHATTACHARJEE Rhea 10% 30% 34% 19% 6% 1% -
109 BAKER Audrey C. 24% 41% 26% 8% 1% - -
111 ULIBARRI Nevaeh L. 20% 42% 28% 8% 1% -
112 BENOIT Adelaide L. 18% 40% 30% 10% 2% - -
112 NEIBART Fiona 22% 41% 27% 8% 1% - -
114 DEPEW Charlotte R. 38% 43% 17% 3% - -

Explanation

The heatmap in this table provides a visual representation of the victory probability distribution for each fencer in their respective pools:

This heatmap visualization offers an immediate understanding of each fencer's expected performance compared to their actual results.